Overview

Dataset statistics

Number of variables19
Number of observations8872
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory156.0 B

Variable types

Numeric4
Categorical6
Text8
DateTime1

Dataset

Description관광장소 인근 버스정류장에 대한 장애인, 노약자 등 관광약자가 이용가능한 시설(버스정류장 종류, 음성안내, 시각안내 등) 정보 데이터
Author경상남도 진주시
URLhttps://www.data.go.kr/data/15111077/fileData.do

Alerts

노선유형 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
편의시설 유무 is highly overall correlated with 편의시설 상세정보High correlation
편의시설 정보 is highly overall correlated with 관광장소명 and 2 other fieldsHigh correlation
관광장소명 is highly overall correlated with 구분번호 and 5 other fieldsHigh correlation
편의시설 상세정보 is highly overall correlated with 구분번호 and 7 other fieldsHigh correlation
편의시설 구분 is highly overall correlated with 편의시설 정보 and 1 other fieldsHigh correlation
구분번호 is highly overall correlated with 관광장소명 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 관광장소명 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 관광장소명 and 1 other fieldsHigh correlation
거리 is highly overall correlated with 관광장소명 and 1 other fieldsHigh correlation
편의시설 정보 is highly imbalanced (53.6%)Imbalance
편의시설 상세정보 is highly imbalanced (61.2%)Imbalance

Reproduction

Analysis started2023-12-11 23:17:46.580162
Analysis finished2023-12-11 23:17:51.419341
Duration4.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분번호
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.027502
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.1 KiB
2023-12-12T08:17:51.471607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median21
Q328
95-th percentile33
Maximum35
Range34
Interquartile range (IQR)21

Descriptive statistics

Standard deviation10.742848
Coefficient of variation (CV)0.59591438
Kurtosis-1.4120366
Mean18.027502
Median Absolute Deviation (MAD)9
Skewness-0.22009584
Sum159940
Variance115.40878
MonotonicityIncreasing
2023-12-12T08:17:51.585108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
28 1050
 
11.8%
21 1020
 
11.5%
3 1000
 
11.3%
29 580
 
6.5%
32 565
 
6.4%
33 470
 
5.3%
9 440
 
5.0%
11 340
 
3.8%
20 340
 
3.8%
23 320
 
3.6%
Other values (25) 2747
31.0%
ValueCountFrequency (%)
1 255
 
2.9%
2 270
 
3.0%
3 1000
11.3%
4 275
 
3.1%
5 150
 
1.7%
6 230
 
2.6%
7 60
 
0.7%
8 90
 
1.0%
9 440
5.0%
10 165
 
1.9%
ValueCountFrequency (%)
35 22
 
0.2%
34 30
 
0.3%
33 470
5.3%
32 565
6.4%
31 50
 
0.6%
30 30
 
0.3%
29 580
6.5%
28 1050
11.8%
27 30
 
0.3%
26 150
 
1.7%

관광장소명
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
인사동골동품거리
1050 
비단길청년몰
1020 
소극장 날개
1000 
정글어드벤쳐
580 
진주남강음악분수대
565 
Other values (30)
4657 

Length

Max length14
Median length11
Mean length6.643147
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경남문화예술회관
2nd row경남문화예술회관
3rd row경남문화예술회관
4th row경남문화예술회관
5th row경남문화예술회관

Common Values

ValueCountFrequency (%)
인사동골동품거리 1050
 
11.8%
비단길청년몰 1020
 
11.5%
소극장 날개 1000
 
11.3%
정글어드벤쳐 580
 
6.5%
진주남강음악분수대 565
 
6.4%
진주논개시장 470
 
5.3%
석류공원 440
 
5.0%
봉황교 340
 
3.8%
진주레일바이크놀이공원 340
 
3.8%
신안동성당 320
 
3.6%
Other values (25) 2747
31.0%

Length

2023-12-12T08:17:51.708430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인사동골동품거리 1050
 
9.9%
비단길청년몰 1020
 
9.6%
소극장 1000
 
9.4%
날개 1000
 
9.4%
정글어드벤쳐 580
 
5.5%
진주남강음악분수대 565
 
5.3%
진주논개시장 470
 
4.4%
석류공원 440
 
4.2%
봉황교 340
 
3.2%
진주레일바이크놀이공원 340
 
3.2%
Other values (30) 3797
35.8%

정류소아이디
Text

Distinct182
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
2023-12-12T08:17:51.925730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters106464
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJJB381220001
2nd rowJJB381220001
3rd rowJJB381220001
4th rowJJB381220001
5th rowJJB381220001
ValueCountFrequency (%)
jjb381232001 410
 
4.6%
jjb381227001 410
 
4.6%
jjb381232002 410
 
4.6%
jjb381227002 390
 
4.4%
jjb381225008 350
 
3.9%
jjb381225010 350
 
3.9%
jjb381225009 350
 
3.9%
jjb381231001 225
 
2.5%
jjb381227003 195
 
2.2%
jjb381226001 187
 
2.1%
Other values (172) 5595
63.1%
2023-12-12T08:17:52.293430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
J 17744
16.7%
1 16889
15.9%
0 15919
15.0%
2 14174
13.3%
3 12042
11.3%
8 10172
9.6%
B 8872
8.3%
4 3280
 
3.1%
5 2430
 
2.3%
7 2020
 
1.9%
Other values (2) 2922
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79848
75.0%
Uppercase Letter 26616
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16889
21.2%
0 15919
19.9%
2 14174
17.8%
3 12042
15.1%
8 10172
12.7%
4 3280
 
4.1%
5 2430
 
3.0%
7 2020
 
2.5%
6 1787
 
2.2%
9 1135
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
J 17744
66.7%
B 8872
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 79848
75.0%
Latin 26616
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 16889
21.2%
0 15919
19.9%
2 14174
17.8%
3 12042
15.1%
8 10172
12.7%
4 3280
 
4.1%
5 2430
 
3.0%
7 2020
 
2.5%
6 1787
 
2.2%
9 1135
 
1.4%
Latin
ValueCountFrequency (%)
J 17744
66.7%
B 8872
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106464
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
J 17744
16.7%
1 16889
15.9%
0 15919
15.0%
2 14174
13.3%
3 12042
11.3%
8 10172
9.6%
B 8872
8.3%
4 3280
 
3.1%
5 2430
 
2.3%
7 2020
 
1.9%
Other values (2) 2922
 
2.7%

정류소명
Text

Distinct104
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
2023-12-12T08:17:52.534692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.9245942
Min length2

Characters and Unicode

Total characters61435
Distinct characters178
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row천전초등학교
2nd row천전초등학교
3rd row천전초등학교
4th row천전초등학교
5th row천전초등학교
ValueCountFrequency (%)
논개시장 820
 
9.2%
나불천복개도로교차로 700
 
7.9%
부산교통본사 525
 
5.9%
중앙시장(주차장 410
 
4.6%
중앙시장(우리은행 390
 
4.4%
롯데시네마 352
 
4.0%
이마트 350
 
3.9%
판문동차고지 310
 
3.5%
신안초등학교/진주여자중학교 280
 
3.2%
농협중앙지점 270
 
3.0%
Other values (94) 4465
50.3%
2023-12-12T08:17:52.894364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 3105
 
5.1%
시 2722
 
4.4%
교 2585
 
4.2%
주 1830
 
3.0%
차 1755
 
2.9%
중 1670
 
2.7%
개 1585
 
2.6%
로 1405
 
2.3%
학 1265
 
2.1%
앙 1265
 
2.1%
Other values (168) 42248
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57395
93.4%
Close Punctuation 995
 
1.6%
Open Punctuation 995
 
1.6%
Other Punctuation 960
 
1.6%
Uppercase Letter 620
 
1.0%
Decimal Number 470
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3105
 
5.4%
시 2722
 
4.7%
교 2585
 
4.5%
주 1830
 
3.2%
차 1755
 
3.1%
중 1670
 
2.9%
개 1585
 
2.8%
로 1405
 
2.4%
학 1265
 
2.2%
앙 1265
 
2.2%
Other values (155) 38208
66.6%
Uppercase Letter
ValueCountFrequency (%)
C 260
41.9%
I 220
35.5%
B 40
 
6.5%
M 40
 
6.5%
S 30
 
4.8%
G 30
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 225
47.9%
0 195
41.5%
2 50
 
10.6%
Other Punctuation
ValueCountFrequency (%)
/ 920
95.8%
. 40
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 995
100.0%
Open Punctuation
ValueCountFrequency (%)
( 995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57395
93.4%
Common 3420
 
5.6%
Latin 620
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3105
 
5.4%
시 2722
 
4.7%
교 2585
 
4.5%
주 1830
 
3.2%
차 1755
 
3.1%
중 1670
 
2.9%
개 1585
 
2.8%
로 1405
 
2.4%
학 1265
 
2.2%
앙 1265
 
2.2%
Other values (155) 38208
66.6%
Common
ValueCountFrequency (%)
) 995
29.1%
( 995
29.1%
/ 920
26.9%
1 225
 
6.6%
0 195
 
5.7%
2 50
 
1.5%
. 40
 
1.2%
Latin
ValueCountFrequency (%)
C 260
41.9%
I 220
35.5%
B 40
 
6.5%
M 40
 
6.5%
S 30
 
4.8%
G 30
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57395
93.4%
ASCII 4040
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 3105
 
5.4%
시 2722
 
4.7%
교 2585
 
4.5%
주 1830
 
3.2%
차 1755
 
3.1%
중 1670
 
2.9%
개 1585
 
2.8%
로 1405
 
2.4%
학 1265
 
2.2%
앙 1265
 
2.2%
Other values (155) 38208
66.6%
ASCII
ValueCountFrequency (%)
) 995
24.6%
( 995
24.6%
/ 920
22.8%
C 260
 
6.4%
1 225
 
5.6%
I 220
 
5.4%
0 195
 
4.8%
2 50
 
1.2%
B 40
 
1.0%
M 40
 
1.0%
Other values (3) 100
 
2.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct181
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.187534
Minimum35.08213
Maximum35.29603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.1 KiB
2023-12-12T08:17:53.032295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.08213
5-th percentile35.16134
Q135.18336
median35.18983
Q335.19367
95-th percentile35.21407
Maximum35.29603
Range0.2139
Interquartile range (IQR)0.01031

Descriptive statistics

Standard deviation0.01980215
Coefficient of variation (CV)0.00056276037
Kurtosis11.156781
Mean35.187534
Median Absolute Deviation (MAD)0.00473
Skewness-0.098488599
Sum312183.8
Variance0.00039212513
MonotonicityNot monotonic
2023-12-12T08:17:53.188069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.19367 410
 
4.6%
35.19407 410
 
4.6%
35.19349 410
 
4.6%
35.19456 390
 
4.4%
35.18983 350
 
3.9%
35.18903 350
 
3.9%
35.18909 350
 
3.9%
35.19132 225
 
2.5%
35.19521 195
 
2.2%
35.19244 187
 
2.1%
Other values (171) 5595
63.1%
ValueCountFrequency (%)
35.08213 5
 
0.1%
35.08219 5
 
0.1%
35.0885 25
0.3%
35.08852 25
0.3%
35.09062 15
0.2%
35.09071 15
0.2%
35.12597 10
 
0.1%
35.1263 10
 
0.1%
35.12637 10
 
0.1%
35.13443 5
 
0.1%
ValueCountFrequency (%)
35.29603 5
0.1%
35.29586 5
0.1%
35.29087 5
0.1%
35.29082 5
0.1%
35.28816 5
0.1%
35.2881 5
0.1%
35.28727 5
0.1%
35.28725 5
0.1%
35.28525 5
0.1%
35.28524 5
0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct180
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.08194
Minimum127.93188
Maximum128.33897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.1 KiB
2023-12-12T08:17:53.342191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.93188
5-th percentile128.03936
Q1128.07192
median128.08272
Q3128.08732
95-th percentile128.1456
Maximum128.33897
Range0.40709
Interquartile range (IQR)0.0154

Descriptive statistics

Standard deviation0.035777124
Coefficient of variation (CV)0.00027932997
Kurtosis10.800072
Mean128.08194
Median Absolute Deviation (MAD)0.0097
Skewness0.99271548
Sum1136343
Variance0.0012800026
MonotonicityNot monotonic
2023-12-12T08:17:53.523901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.08367 585
 
6.6%
128.08545 410
 
4.6%
128.08732 410
 
4.6%
128.08666 410
 
4.6%
128.07279 350
 
3.9%
128.0742 350
 
3.9%
128.07254 350
 
3.9%
128.0909 225
 
2.5%
128.08209 187
 
2.1%
128.07421 175
 
2.0%
Other values (170) 5420
61.1%
ValueCountFrequency (%)
127.93188 20
0.2%
127.93812 20
0.2%
127.93824 20
0.2%
127.94 20
0.2%
127.94009 20
0.2%
127.94703 5
 
0.1%
127.98726 5
 
0.1%
127.98736 5
 
0.1%
127.98829 5
 
0.1%
127.98843 5
 
0.1%
ValueCountFrequency (%)
128.33897 5
 
0.1%
128.33559 5
 
0.1%
128.33508 5
 
0.1%
128.33278 5
 
0.1%
128.3324 5
 
0.1%
128.33084 5
 
0.1%
128.18848 15
0.2%
128.18802 15
0.2%
128.18673 25
0.3%
128.18666 25
0.3%

노선아이디
Text

Distinct165
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
2023-12-12T08:17:53.842402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters106464
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJJB381021020
2nd rowJJB381021020
3rd rowJJB381021020
4th rowJJB381021020
5th rowJJB381021020
ValueCountFrequency (%)
jjb381080330 125
 
1.4%
jjb381030030 125
 
1.4%
jjb381030130 125
 
1.4%
jjb381080230 125
 
1.4%
jjb381026010 115
 
1.3%
jjb381026020 115
 
1.3%
jjb381021020 105
 
1.2%
jjb381034420 105
 
1.2%
jjb381034410 105
 
1.2%
jjb381021010 100
 
1.1%
Other values (155) 7727
87.1%
2023-12-12T08:17:54.208018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21139
19.9%
J 17744
16.7%
1 17549
16.5%
3 14667
13.8%
8 9627
9.0%
2 8904
8.4%
B 8872
8.3%
4 2657
 
2.5%
7 1785
 
1.7%
5 1570
 
1.5%
Other values (2) 1950
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79848
75.0%
Uppercase Letter 26616
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21139
26.5%
1 17549
22.0%
3 14667
18.4%
8 9627
12.1%
2 8904
11.2%
4 2657
 
3.3%
7 1785
 
2.2%
5 1570
 
2.0%
6 1205
 
1.5%
9 745
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
J 17744
66.7%
B 8872
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 79848
75.0%
Latin 26616
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21139
26.5%
1 17549
22.0%
3 14667
18.4%
8 9627
12.1%
2 8904
11.2%
4 2657
 
3.3%
7 1785
 
2.2%
5 1570
 
2.0%
6 1205
 
1.5%
9 745
 
0.9%
Latin
ValueCountFrequency (%)
J 17744
66.7%
B 8872
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106464
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21139
19.9%
J 17744
16.7%
1 17549
16.5%
3 14667
13.8%
8 9627
9.0%
2 8904
8.4%
B 8872
8.3%
4 2657
 
2.5%
7 1785
 
1.7%
5 1570
 
1.5%
Other values (2) 1950
 
1.8%

노선번호
Text

Distinct86
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
2023-12-12T08:17:54.513972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.035505
Min length1

Characters and Unicode

Total characters26931
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row210
2nd row210
3rd row210
4th row210
5th row210
ValueCountFrequency (%)
260 230
 
2.6%
344 210
 
2.4%
210 205
 
2.3%
343 185
 
2.1%
353 185
 
2.1%
270 180
 
2.0%
342 175
 
2.0%
341 175
 
2.0%
340 175
 
2.0%
142 175
 
2.0%
Other values (76) 6977
78.6%
2023-12-12T08:17:54.959540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5305
19.7%
1 5002
18.6%
2 4582
17.0%
0 3315
12.3%
4 2657
9.9%
7 1785
 
6.6%
5 1580
 
5.9%
6 1205
 
4.5%
9 745
 
2.8%
8 495
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26671
99.0%
Dash Punctuation 260
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5305
19.9%
1 5002
18.8%
2 4582
17.2%
0 3315
12.4%
4 2657
10.0%
7 1785
 
6.7%
5 1580
 
5.9%
6 1205
 
4.5%
9 745
 
2.8%
8 495
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26931
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5305
19.7%
1 5002
18.6%
2 4582
17.0%
0 3315
12.3%
4 2657
9.9%
7 1785
 
6.6%
5 1580
 
5.9%
6 1205
 
4.5%
9 745
 
2.8%
8 495
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26931
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5305
19.7%
1 5002
18.6%
2 4582
17.0%
0 3315
12.3%
4 2657
9.9%
7 1785
 
6.6%
5 1580
 
5.9%
6 1205
 
4.5%
9 745
 
2.8%
8 495
 
1.8%

노선유형
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
일반버스
8872 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반버스
2nd row일반버스
3rd row일반버스
4th row일반버스
5th row일반버스

Common Values

ValueCountFrequency (%)
일반버스 8872
100.0%

Length

2023-12-12T08:17:55.119253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:17:55.236788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반버스 8872
100.0%

기점
Text

Distinct57
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
2023-12-12T08:17:55.436853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length6.5068756
Min length2

Characters and Unicode

Total characters57729
Distinct characters116
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row진양호공원
2nd row진양호공원
3rd row진양호공원
4th row진양호공원
5th row진양호공원
ValueCountFrequency (%)
판문동차고지 2000
22.5%
진양호차고지/경해여자고등학교 1145
 
12.9%
공영차고지 1070
 
12.1%
농산물도매시장/산업인력공단 345
 
3.9%
진양호공원 320
 
3.6%
금곡종점 225
 
2.5%
한국국제대 185
 
2.1%
신촌 127
 
1.4%
진주교도소 125
 
1.4%
대평면사무소 120
 
1.4%
Other values (47) 3210
36.2%
2023-12-12T08:17:55.863938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
고 5500
 
9.5%
차 4480
 
7.8%
지 4215
 
7.3%
동 2135
 
3.7%
문 2070
 
3.6%
판 2000
 
3.5%
진 1905
 
3.3%
공 1805
 
3.1%
교 1750
 
3.0%
호 1570
 
2.7%
Other values (106) 30299
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56214
97.4%
Other Punctuation 1515
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 5500
 
9.8%
차 4480
 
8.0%
지 4215
 
7.5%
동 2135
 
3.8%
문 2070
 
3.7%
판 2000
 
3.6%
진 1905
 
3.4%
공 1805
 
3.2%
교 1750
 
3.1%
호 1570
 
2.8%
Other values (105) 28784
51.2%
Other Punctuation
ValueCountFrequency (%)
/ 1515
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56214
97.4%
Common 1515
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 5500
 
9.8%
차 4480
 
8.0%
지 4215
 
7.5%
동 2135
 
3.8%
문 2070
 
3.7%
판 2000
 
3.6%
진 1905
 
3.4%
공 1805
 
3.2%
교 1750
 
3.1%
호 1570
 
2.8%
Other values (105) 28784
51.2%
Common
ValueCountFrequency (%)
/ 1515
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56214
97.4%
ASCII 1515
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
고 5500
 
9.8%
차 4480
 
8.0%
지 4215
 
7.5%
동 2135
 
3.8%
문 2070
 
3.7%
판 2000
 
3.6%
진 1905
 
3.4%
공 1805
 
3.2%
교 1750
 
3.1%
호 1570
 
2.8%
Other values (105) 28784
51.2%
ASCII
ValueCountFrequency (%)
/ 1515
100.0%

종점
Text

Distinct57
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
2023-12-12T08:17:56.161301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length6.6022317
Min length2

Characters and Unicode

Total characters58575
Distinct characters120
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공영차고지
2nd row공영차고지
3rd row공영차고지
4th row공영차고지
5th row공영차고지
ValueCountFrequency (%)
판문동차고지 1960
22.1%
진양호차고지/경해여자고등학교 1320
14.9%
공영차고지 1035
 
11.7%
진양호공원 342
 
3.9%
농산물도매시장/산업인력공단 210
 
2.4%
금곡종점 190
 
2.1%
한국국제대 175
 
2.0%
진주교도소 150
 
1.7%
대평면사무소 135
 
1.5%
신촌 125
 
1.4%
Other values (47) 3230
36.4%
2023-12-12T08:17:56.572904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
고 5770
 
9.9%
차 4540
 
7.8%
지 4315
 
7.4%
동 2100
 
3.6%
진 2097
 
3.6%
문 2040
 
3.5%
판 1960
 
3.3%
교 1925
 
3.3%
호 1767
 
3.0%
양 1707
 
2.9%
Other values (110) 30354
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56925
97.2%
Other Punctuation 1650
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 5770
 
10.1%
차 4540
 
8.0%
지 4315
 
7.6%
동 2100
 
3.7%
진 2097
 
3.7%
문 2040
 
3.6%
판 1960
 
3.4%
교 1925
 
3.4%
호 1767
 
3.1%
양 1707
 
3.0%
Other values (109) 28704
50.4%
Other Punctuation
ValueCountFrequency (%)
/ 1650
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56925
97.2%
Common 1650
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 5770
 
10.1%
차 4540
 
8.0%
지 4315
 
7.6%
동 2100
 
3.7%
진 2097
 
3.7%
문 2040
 
3.6%
판 1960
 
3.4%
교 1925
 
3.4%
호 1767
 
3.1%
양 1707
 
3.0%
Other values (109) 28704
50.4%
Common
ValueCountFrequency (%)
/ 1650
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56925
97.2%
ASCII 1650
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
고 5770
 
10.1%
차 4540
 
8.0%
지 4315
 
7.6%
동 2100
 
3.7%
진 2097
 
3.7%
문 2040
 
3.6%
판 1960
 
3.4%
교 1925
 
3.4%
호 1767
 
3.1%
양 1707
 
3.0%
Other values (109) 28704
50.4%
ASCII
ValueCountFrequency (%)
/ 1650
100.0%

방면
Text

Distinct84
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
2023-12-12T08:17:56.828493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.3154869
Min length2

Characters and Unicode

Total characters73775
Distinct characters108
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공영차고지(경상대) 방면
2nd row공영차고지(경상대) 방면
3rd row공영차고지(경상대) 방면
4th row공영차고지(경상대) 방면
5th row공영차고지(경상대) 방면
ValueCountFrequency (%)
방면 3500
28.2%
판문동차고지 920
 
7.4%
진양호차고지방면 650
 
5.2%
기점 615
 
5.0%
진양호차고지 525
 
4.2%
공영차고지(경상대 505
 
4.1%
판문동차고지방면 450
 
3.6%
공영차고지 350
 
2.8%
진양호공원 342
 
2.8%
진양호차고지(이현동 180
 
1.5%
Other values (70) 4370
35.2%
2023-12-12T08:17:57.200721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 6510
 
8.8%
방 6490
 
8.8%
) 4275
 
5.8%
( 4275
 
5.8%
차 3830
 
5.2%
고 3805
 
5.2%
지 3760
 
5.1%
3535
 
4.8%
동 2145
 
2.9%
대 2020
 
2.7%
Other values (98) 33130
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60935
82.6%
Close Punctuation 4275
 
5.8%
Open Punctuation 4275
 
5.8%
Space Separator 3535
 
4.8%
Other Punctuation 755
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 6510
 
10.7%
방 6490
 
10.7%
차 3830
 
6.3%
고 3805
 
6.2%
지 3760
 
6.2%
동 2145
 
3.5%
대 2020
 
3.3%
진 1987
 
3.3%
양 1797
 
2.9%
문 1790
 
2.9%
Other values (93) 26801
44.0%
Other Punctuation
ValueCountFrequency (%)
, 495
65.6%
/ 260
34.4%
Close Punctuation
ValueCountFrequency (%)
) 4275
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4275
100.0%
Space Separator
ValueCountFrequency (%)
3535
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60935
82.6%
Common 12840
 
17.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 6510
 
10.7%
방 6490
 
10.7%
차 3830
 
6.3%
고 3805
 
6.2%
지 3760
 
6.2%
동 2145
 
3.5%
대 2020
 
3.3%
진 1987
 
3.3%
양 1797
 
2.9%
문 1790
 
2.9%
Other values (93) 26801
44.0%
Common
ValueCountFrequency (%)
) 4275
33.3%
( 4275
33.3%
3535
27.5%
, 495
 
3.9%
/ 260
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60935
82.6%
ASCII 12840
 
17.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 6510
 
10.7%
방 6490
 
10.7%
차 3830
 
6.3%
고 3805
 
6.2%
지 3760
 
6.2%
동 2145
 
3.5%
대 2020
 
3.3%
진 1987
 
3.3%
양 1797
 
2.9%
문 1790
 
2.9%
Other values (93) 26801
44.0%
ASCII
ValueCountFrequency (%)
) 4275
33.3%
( 4275
33.3%
3535
27.5%
, 495
 
3.9%
/ 260
 
2.0%

전체경로
Text

Distinct178
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
2023-12-12T08:17:57.426596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length723
Mean length538.22092
Min length143

Characters and Unicode

Total characters4775096
Distinct characters355
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row진양호공원-진양호공원-진양호입구교차로-진양호삼거리-평거초등학교-판문현대아파트-퀸즈웰가아파트-판문동행정복지센터-휴먼시아4단지/평거주공2단지-휴먼시아3단지/평거주공1단지-10호광장/GS마켓-들말한보공원-진주제일중학교-신안우체국-평거현대1차아파트-신안흥한아파트-신안주공1차아파트-한주파크맨션-갑을가든-신안현대아파트-KBS-나불천복개도로교차로-부산교통본사-이마트-진주초등학교-서부시장/진주초등학교-서부농협-강동한의원-진주여자고등학교사거리-진주여자고등학교-상봉현장민원실-갤러리아백화점-중앙시장(우리은행)-농협중앙지점-포시즌-천전초등학교-경남문화예술회관-천전119안전센터-경상국립대학교병원-금호석류/은빛한보아파트-연암공과대학교-가좌주공아파트-개양오거리-경상국립대학교가좌캠퍼스후문-경상국립대학교가좌캠퍼스정문-가좌주공그린빌-율곡입구-대동2-대동1-공영차고지
2nd row진양호공원-진양호공원-진양호입구교차로-진양호삼거리-평거초등학교-판문현대아파트-퀸즈웰가아파트-판문동행정복지센터-휴먼시아4단지/평거주공2단지-휴먼시아3단지/평거주공1단지-10호광장/GS마켓-들말한보공원-진주제일중학교-신안우체국-평거현대1차아파트-신안흥한아파트-신안주공1차아파트-한주파크맨션-갑을가든-신안현대아파트-KBS-나불천복개도로교차로-부산교통본사-이마트-진주초등학교-서부시장/진주초등학교-서부농협-강동한의원-진주여자고등학교사거리-진주여자고등학교-상봉현장민원실-갤러리아백화점-중앙시장(우리은행)-농협중앙지점-포시즌-천전초등학교-경남문화예술회관-천전119안전센터-경상국립대학교병원-금호석류/은빛한보아파트-연암공과대학교-가좌주공아파트-개양오거리-경상국립대학교가좌캠퍼스후문-경상국립대학교가좌캠퍼스정문-가좌주공그린빌-율곡입구-대동2-대동1-공영차고지
3rd row진양호공원-진양호공원-진양호입구교차로-진양호삼거리-평거초등학교-판문현대아파트-퀸즈웰가아파트-판문동행정복지센터-휴먼시아4단지/평거주공2단지-휴먼시아3단지/평거주공1단지-10호광장/GS마켓-들말한보공원-진주제일중학교-신안우체국-평거현대1차아파트-신안흥한아파트-신안주공1차아파트-한주파크맨션-갑을가든-신안현대아파트-KBS-나불천복개도로교차로-부산교통본사-이마트-진주초등학교-서부시장/진주초등학교-서부농협-강동한의원-진주여자고등학교사거리-진주여자고등학교-상봉현장민원실-갤러리아백화점-중앙시장(우리은행)-농협중앙지점-포시즌-천전초등학교-경남문화예술회관-천전119안전센터-경상국립대학교병원-금호석류/은빛한보아파트-연암공과대학교-가좌주공아파트-개양오거리-경상국립대학교가좌캠퍼스후문-경상국립대학교가좌캠퍼스정문-가좌주공그린빌-율곡입구-대동2-대동1-공영차고지
4th row진양호공원-진양호공원-진양호입구교차로-진양호삼거리-평거초등학교-판문현대아파트-퀸즈웰가아파트-판문동행정복지센터-휴먼시아4단지/평거주공2단지-휴먼시아3단지/평거주공1단지-10호광장/GS마켓-들말한보공원-진주제일중학교-신안우체국-평거현대1차아파트-신안흥한아파트-신안주공1차아파트-한주파크맨션-갑을가든-신안현대아파트-KBS-나불천복개도로교차로-부산교통본사-이마트-진주초등학교-서부시장/진주초등학교-서부농협-강동한의원-진주여자고등학교사거리-진주여자고등학교-상봉현장민원실-갤러리아백화점-중앙시장(우리은행)-농협중앙지점-포시즌-천전초등학교-경남문화예술회관-천전119안전센터-경상국립대학교병원-금호석류/은빛한보아파트-연암공과대학교-가좌주공아파트-개양오거리-경상국립대학교가좌캠퍼스후문-경상국립대학교가좌캠퍼스정문-가좌주공그린빌-율곡입구-대동2-대동1-공영차고지
5th row진양호공원-진양호공원-진양호입구교차로-진양호삼거리-평거초등학교-판문현대아파트-퀸즈웰가아파트-판문동행정복지센터-휴먼시아4단지/평거주공2단지-휴먼시아3단지/평거주공1단지-10호광장/GS마켓-들말한보공원-진주제일중학교-신안우체국-평거현대1차아파트-신안흥한아파트-신안주공1차아파트-한주파크맨션-갑을가든-신안현대아파트-KBS-나불천복개도로교차로-부산교통본사-이마트-진주초등학교-서부시장/진주초등학교-서부농협-강동한의원-진주여자고등학교사거리-진주여자고등학교-상봉현장민원실-갤러리아백화점-중앙시장(우리은행)-농협중앙지점-포시즌-천전초등학교-경남문화예술회관-천전119안전센터-경상국립대학교병원-금호석류/은빛한보아파트-연암공과대학교-가좌주공아파트-개양오거리-경상국립대학교가좌캠퍼스후문-경상국립대학교가좌캠퍼스정문-가좌주공그린빌-율곡입구-대동2-대동1-공영차고지
ValueCountFrequency (%)
방면 1975
 
1.6%
방면)-반도병원(이현동 875
 
0.7%
방면)-시외버스터미널(진주성 875
 
0.7%
방면)-이현주공아파트(이현동 785
 
0.7%
방면)-중앙시장(주차장)(진양호 755
 
0.6%
방면)-논개시장(진양호 755
 
0.6%
방면)-구.법원(경상국립대칠암 750
 
0.6%
방면)-진주기계공업고등학교(과기대 750
 
0.6%
방면)-진주시청(진주기계공업고등학교 750
 
0.6%
방면)-자유시장(진주시청 750
 
0.6%
Other values (908) 111122
92.5%
2023-12-12T08:17:57.770469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 501954
 
10.5%
면 119395
 
2.5%
( 118117
 
2.5%
교 118093
 
2.5%
) 118017
 
2.5%
방 115810
 
2.4%
111385
 
2.3%
주 107098
 
2.2%
학 96797
 
2.0%
진 92825
 
1.9%
Other values (345) 3275605
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3753130
78.6%
Dash Punctuation 501954
 
10.5%
Open Punctuation 118117
 
2.5%
Close Punctuation 118017
 
2.5%
Space Separator 111385
 
2.3%
Other Punctuation 91412
 
1.9%
Decimal Number 55136
 
1.2%
Uppercase Letter 25945
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 119395
 
3.2%
교 118093
 
3.1%
방 115810
 
3.1%
주 107098
 
2.9%
학 96797
 
2.6%
진 92825
 
2.5%
장 91684
 
2.4%
동 85749
 
2.3%
아 85307
 
2.3%
시 78245
 
2.1%
Other values (317) 2762127
73.6%
Uppercase Letter
ValueCountFrequency (%)
C 4325
16.7%
I 4165
16.1%
H 4050
15.6%
L 4050
15.6%
T 3480
13.4%
K 3055
11.8%
S 770
 
3.0%
R 770
 
3.0%
B 600
 
2.3%
G 330
 
1.3%
Other values (3) 350
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 22856
41.5%
2 9007
 
16.3%
3 7204
 
13.1%
0 5477
 
9.9%
4 5197
 
9.4%
5 3070
 
5.6%
8 1150
 
2.1%
9 995
 
1.8%
7 180
 
0.3%
Other Punctuation
ValueCountFrequency (%)
/ 80486
88.0%
. 10926
 
12.0%
Dash Punctuation
ValueCountFrequency (%)
- 501954
100.0%
Open Punctuation
ValueCountFrequency (%)
( 118117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 118017
100.0%
Space Separator
ValueCountFrequency (%)
111385
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3753130
78.6%
Common 996021
 
20.9%
Latin 25945
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 119395
 
3.2%
교 118093
 
3.1%
방 115810
 
3.1%
주 107098
 
2.9%
학 96797
 
2.6%
진 92825
 
2.5%
장 91684
 
2.4%
동 85749
 
2.3%
아 85307
 
2.3%
시 78245
 
2.1%
Other values (317) 2762127
73.6%
Common
ValueCountFrequency (%)
- 501954
50.4%
( 118117
 
11.9%
) 118017
 
11.8%
111385
 
11.2%
/ 80486
 
8.1%
1 22856
 
2.3%
. 10926
 
1.1%
2 9007
 
0.9%
3 7204
 
0.7%
0 5477
 
0.5%
Other values (5) 10592
 
1.1%
Latin
ValueCountFrequency (%)
C 4325
16.7%
I 4165
16.1%
H 4050
15.6%
L 4050
15.6%
T 3480
13.4%
K 3055
11.8%
S 770
 
3.0%
R 770
 
3.0%
B 600
 
2.3%
G 330
 
1.3%
Other values (3) 350
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3753130
78.6%
ASCII 1021966
 
21.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 501954
49.1%
( 118117
 
11.6%
) 118017
 
11.5%
111385
 
10.9%
/ 80486
 
7.9%
1 22856
 
2.2%
. 10926
 
1.1%
2 9007
 
0.9%
3 7204
 
0.7%
0 5477
 
0.5%
Other values (18) 36537
 
3.6%
Hangul
ValueCountFrequency (%)
면 119395
 
3.2%
교 118093
 
3.1%
방 115810
 
3.1%
주 107098
 
2.9%
학 96797
 
2.6%
진 92825
 
2.5%
장 91684
 
2.4%
동 85749
 
2.3%
아 85307
 
2.3%
시 78245
 
2.1%
Other values (317) 2762127
73.6%

거리
Real number (ℝ)

HIGH CORRELATION 

Distinct84
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31747069
Minimum0.02
Maximum2.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.1 KiB
2023-12-12T08:17:57.909247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.1
Q10.15
median0.27
Q30.43
95-th percentile0.65
Maximum2.08
Range2.06
Interquartile range (IQR)0.28

Descriptive statistics

Standard deviation0.22590817
Coefficient of variation (CV)0.71158746
Kurtosis12.082838
Mean0.31747069
Median Absolute Deviation (MAD)0.13
Skewness2.5922919
Sum2816.6
Variance0.051034499
MonotonicityNot monotonic
2023-12-12T08:17:58.086708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.14 760
 
8.6%
0.2 712
 
8.0%
0.29 435
 
4.9%
0.13 395
 
4.5%
0.19 395
 
4.5%
0.15 385
 
4.3%
0.65 295
 
3.3%
0.22 295
 
3.3%
0.46 290
 
3.3%
0.41 285
 
3.2%
Other values (74) 4625
52.1%
ValueCountFrequency (%)
0.02 10
 
0.1%
0.04 15
 
0.2%
0.05 30
 
0.3%
0.06 5
 
0.1%
0.07 190
2.1%
0.08 30
 
0.3%
0.09 10
 
0.1%
0.1 240
2.7%
0.11 245
2.8%
0.12 20
 
0.2%
ValueCountFrequency (%)
2.08 5
 
0.1%
2.07 5
 
0.1%
1.78 10
 
0.1%
1.7 10
 
0.1%
1.69 30
0.3%
1.27 10
 
0.1%
1.19 10
 
0.1%
1.12 10
 
0.1%
1.1 5
 
0.1%
1.09 10
 
0.1%

편의시설 구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
종류
1775 
정류소팻말
1775 
벤치
1774 
단차
1774 
시각안내
1774 

Length

Max length5
Median length2
Mean length3.0001127
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종류
2nd row정류소팻말
3rd row벤치
4th row단차
5th row시각안내

Common Values

ValueCountFrequency (%)
종류 1775
20.0%
정류소팻말 1775
20.0%
벤치 1774
20.0%
단차 1774
20.0%
시각안내 1774
20.0%

Length

2023-12-12T08:17:58.237001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:17:58.353485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종류 1775
20.0%
정류소팻말 1775
20.0%
벤치 1774
20.0%
단차 1774
20.0%
시각안내 1774
20.0%

편의시설 유무
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
Y
5422 
N
2775 
99
675 

Length

Max length2
Median length1
Mean length1.0760821
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowN
4th rowY
5th rowN

Common Values

ValueCountFrequency (%)
Y 5422
61.1%
N 2775
31.3%
99 675
 
7.6%

Length

2023-12-12T08:17:58.484747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:17:58.591422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 5422
61.1%
n 2775
31.3%
99 675
 
7.6%

편의시설 정보
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
<NA>
7198 
버스정류장
1084 
정류소팻말
 
448
스마트버스정류장
 
142

Length

Max length8
Median length4
Mean length4.2366997
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정류소팻말
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7198
81.1%
버스정류장 1084
 
12.2%
정류소팻말 448
 
5.0%
스마트버스정류장 142
 
1.6%

Length

2023-12-12T08:17:58.734331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:17:59.128359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7198
81.1%
버스정류장 1084
 
12.2%
정류소팻말 448
 
5.0%
스마트버스정류장 142
 
1.6%

편의시설 상세정보
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
<NA>
8197 
편의시설 정보 확인불가
 
675

Length

Max length12
Median length4
Mean length4.6086564
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8197
92.4%
편의시설 정보 확인불가 675
 
7.6%

Length

2023-12-12T08:17:59.274754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:17:59.393170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8197
80.2%
편의시설 675
 
6.6%
정보 675
 
6.6%
확인불가 675
 
6.6%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
Minimum2022-12-23 00:00:00
Maximum2022-12-23 00:00:00
2023-12-12T08:17:59.503901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:59.617028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:17:50.694702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:49.269848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:49.698062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:50.297708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:50.778859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:49.364756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:49.784964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:50.402989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:50.851998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:49.460619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:49.861385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:50.496185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:50.955066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:49.615972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:50.205622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:50.606796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:17:59.697637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분번호관광장소명위도경도노선번호기점종점방면거리편의시설 구분편의시설 유무편의시설 정보
구분번호1.0001.0000.7090.7930.7500.5740.5850.6510.5670.0000.4440.609
관광장소명1.0001.0000.9900.9990.9320.8560.8520.8560.9230.0000.6240.796
위도0.7090.9901.0000.7910.8120.6890.6620.7140.8330.0000.4260.546
경도0.7930.9990.7911.0000.8770.8160.8170.6880.5750.0000.4370.485
노선번호0.7500.9320.8120.8771.0000.9940.9950.9960.6410.0000.3060.439
기점0.5740.8560.6890.8160.9941.0000.9740.9830.5130.0000.3560.262
종점0.5850.8520.6620.8170.9950.9741.0001.0000.5060.0000.3210.401
방면0.6510.8560.7140.6880.9960.9831.0001.0000.5250.0000.3340.454
거리0.5670.9230.8330.5750.6410.5130.5060.5251.0000.0000.4830.397
편의시설 구분0.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.474NaN
편의시설 유무0.4440.6240.4260.4370.3060.3560.3210.3340.4830.4741.0000.062
편의시설 정보0.6090.7960.5460.4850.4390.2620.4010.4540.397NaN0.0621.000
2023-12-12T08:17:59.844151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
편의시설 유무편의시설 정보관광장소명편의시설 상세정보편의시설 구분
편의시설 유무1.0000.1020.3951.0000.407
편의시설 정보0.1021.0000.5781.0001.000
관광장소명0.3950.5781.0001.0000.000
편의시설 상세정보1.0001.0001.0001.0001.000
편의시설 구분0.4071.0000.0001.0001.000
2023-12-12T08:17:59.961820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분번호위도경도거리관광장소명편의시설 구분편의시설 유무편의시설 정보편의시설 상세정보
구분번호1.0000.046-0.326-0.0370.9990.0000.3000.4701.000
위도0.0461.0000.256-0.3790.9160.0000.2080.2851.000
경도-0.3260.2561.000-0.0560.9950.0000.3090.3521.000
거리-0.037-0.379-0.0561.0000.6630.0000.2440.2751.000
관광장소명0.9990.9160.9950.6631.0000.0000.3950.5781.000
편의시설 구분0.0000.0000.0000.0000.0001.0000.4071.0001.000
편의시설 유무0.3000.2080.3090.2440.3950.4071.0000.1021.000
편의시설 정보0.4700.2850.3520.2750.5781.0000.1021.0001.000
편의시설 상세정보1.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T08:17:51.095926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:17:51.316874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구분번호관광장소명정류소아이디정류소명위도경도노선아이디노선번호노선유형기점종점방면전체경로거리편의시설 구분편의시설 유무편의시설 정보편의시설 상세정보데이터 기준일자
01경남문화예술회관JJB381220001천전초등학교35.187128.09061JJB381021020210일반버스진양호공원공영차고지공영차고지(경상대) 방면진양호공원-진양호공원-진양호입구교차로-진양호삼거리-평거초등학교-판문현대아파트-퀸즈웰가아파트-판문동행정복지센터-휴먼시아4단지/평거주공2단지-휴먼시아3단지/평거주공1단지-10호광장/GS마켓-들말한보공원-진주제일중학교-신안우체국-평거현대1차아파트-신안흥한아파트-신안주공1차아파트-한주파크맨션-갑을가든-신안현대아파트-KBS-나불천복개도로교차로-부산교통본사-이마트-진주초등학교-서부시장/진주초등학교-서부농협-강동한의원-진주여자고등학교사거리-진주여자고등학교-상봉현장민원실-갤러리아백화점-중앙시장(우리은행)-농협중앙지점-포시즌-천전초등학교-경남문화예술회관-천전119안전센터-경상국립대학교병원-금호석류/은빛한보아파트-연암공과대학교-가좌주공아파트-개양오거리-경상국립대학교가좌캠퍼스후문-경상국립대학교가좌캠퍼스정문-가좌주공그린빌-율곡입구-대동2-대동1-공영차고지0.11종류Y정류소팻말<NA>2022-12-23
11경남문화예술회관JJB381220001천전초등학교35.187128.09061JJB381021020210일반버스진양호공원공영차고지공영차고지(경상대) 방면진양호공원-진양호공원-진양호입구교차로-진양호삼거리-평거초등학교-판문현대아파트-퀸즈웰가아파트-판문동행정복지센터-휴먼시아4단지/평거주공2단지-휴먼시아3단지/평거주공1단지-10호광장/GS마켓-들말한보공원-진주제일중학교-신안우체국-평거현대1차아파트-신안흥한아파트-신안주공1차아파트-한주파크맨션-갑을가든-신안현대아파트-KBS-나불천복개도로교차로-부산교통본사-이마트-진주초등학교-서부시장/진주초등학교-서부농협-강동한의원-진주여자고등학교사거리-진주여자고등학교-상봉현장민원실-갤러리아백화점-중앙시장(우리은행)-농협중앙지점-포시즌-천전초등학교-경남문화예술회관-천전119안전센터-경상국립대학교병원-금호석류/은빛한보아파트-연암공과대학교-가좌주공아파트-개양오거리-경상국립대학교가좌캠퍼스후문-경상국립대학교가좌캠퍼스정문-가좌주공그린빌-율곡입구-대동2-대동1-공영차고지0.11정류소팻말Y<NA><NA>2022-12-23
21경남문화예술회관JJB381220001천전초등학교35.187128.09061JJB381021020210일반버스진양호공원공영차고지공영차고지(경상대) 방면진양호공원-진양호공원-진양호입구교차로-진양호삼거리-평거초등학교-판문현대아파트-퀸즈웰가아파트-판문동행정복지센터-휴먼시아4단지/평거주공2단지-휴먼시아3단지/평거주공1단지-10호광장/GS마켓-들말한보공원-진주제일중학교-신안우체국-평거현대1차아파트-신안흥한아파트-신안주공1차아파트-한주파크맨션-갑을가든-신안현대아파트-KBS-나불천복개도로교차로-부산교통본사-이마트-진주초등학교-서부시장/진주초등학교-서부농협-강동한의원-진주여자고등학교사거리-진주여자고등학교-상봉현장민원실-갤러리아백화점-중앙시장(우리은행)-농협중앙지점-포시즌-천전초등학교-경남문화예술회관-천전119안전센터-경상국립대학교병원-금호석류/은빛한보아파트-연암공과대학교-가좌주공아파트-개양오거리-경상국립대학교가좌캠퍼스후문-경상국립대학교가좌캠퍼스정문-가좌주공그린빌-율곡입구-대동2-대동1-공영차고지0.11벤치N<NA><NA>2022-12-23
31경남문화예술회관JJB381220001천전초등학교35.187128.09061JJB381021020210일반버스진양호공원공영차고지공영차고지(경상대) 방면진양호공원-진양호공원-진양호입구교차로-진양호삼거리-평거초등학교-판문현대아파트-퀸즈웰가아파트-판문동행정복지센터-휴먼시아4단지/평거주공2단지-휴먼시아3단지/평거주공1단지-10호광장/GS마켓-들말한보공원-진주제일중학교-신안우체국-평거현대1차아파트-신안흥한아파트-신안주공1차아파트-한주파크맨션-갑을가든-신안현대아파트-KBS-나불천복개도로교차로-부산교통본사-이마트-진주초등학교-서부시장/진주초등학교-서부농협-강동한의원-진주여자고등학교사거리-진주여자고등학교-상봉현장민원실-갤러리아백화점-중앙시장(우리은행)-농협중앙지점-포시즌-천전초등학교-경남문화예술회관-천전119안전센터-경상국립대학교병원-금호석류/은빛한보아파트-연암공과대학교-가좌주공아파트-개양오거리-경상국립대학교가좌캠퍼스후문-경상국립대학교가좌캠퍼스정문-가좌주공그린빌-율곡입구-대동2-대동1-공영차고지0.11단차Y<NA><NA>2022-12-23
41경남문화예술회관JJB381220001천전초등학교35.187128.09061JJB381021020210일반버스진양호공원공영차고지공영차고지(경상대) 방면진양호공원-진양호공원-진양호입구교차로-진양호삼거리-평거초등학교-판문현대아파트-퀸즈웰가아파트-판문동행정복지센터-휴먼시아4단지/평거주공2단지-휴먼시아3단지/평거주공1단지-10호광장/GS마켓-들말한보공원-진주제일중학교-신안우체국-평거현대1차아파트-신안흥한아파트-신안주공1차아파트-한주파크맨션-갑을가든-신안현대아파트-KBS-나불천복개도로교차로-부산교통본사-이마트-진주초등학교-서부시장/진주초등학교-서부농협-강동한의원-진주여자고등학교사거리-진주여자고등학교-상봉현장민원실-갤러리아백화점-중앙시장(우리은행)-농협중앙지점-포시즌-천전초등학교-경남문화예술회관-천전119안전센터-경상국립대학교병원-금호석류/은빛한보아파트-연암공과대학교-가좌주공아파트-개양오거리-경상국립대학교가좌캠퍼스후문-경상국립대학교가좌캠퍼스정문-가좌주공그린빌-율곡입구-대동2-대동1-공영차고지0.11시각안내N<NA><NA>2022-12-23
51경남문화예술회관JJB381220002천전초등학교35.18713128.09043JJB381021010210일반버스공영차고지진양호공원진양호공원 방면공영차고지-대동1-대동2-율곡입구-가좌주공그린빌-경상국립대학교가좌캠퍼스정문-경상국립대학교가좌캠퍼스후문-개양오거리-가좌주공아파트-연암공과대학교-금호석류/은빛한보아파트-경상국립대학교병원-천전119안전센터-경남문화예술회관-천전초등학교-포시즌-농협중앙지점-중앙시장(국민은행)-갤러리아백화점-상봉현장민원실-진주여자고등학교-진주여자고등학교사거리-강동한의원-서부농협-서부시장/진주초등학교-진주초등학교-이마트-부산교통본사-나불천복개도로교차로-KBS-신안현대아파트-갑을가든-한주파크맨션-신안주공1차아파트-신안흥한아파트-평거현대1차아파트-신안우체국-진주제일중학교-들말한보공원-희망교/평거탑마트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호공원0.12종류Y정류소팻말<NA>2022-12-23
61경남문화예술회관JJB381220002천전초등학교35.18713128.09043JJB381021010210일반버스공영차고지진양호공원진양호공원 방면공영차고지-대동1-대동2-율곡입구-가좌주공그린빌-경상국립대학교가좌캠퍼스정문-경상국립대학교가좌캠퍼스후문-개양오거리-가좌주공아파트-연암공과대학교-금호석류/은빛한보아파트-경상국립대학교병원-천전119안전센터-경남문화예술회관-천전초등학교-포시즌-농협중앙지점-중앙시장(국민은행)-갤러리아백화점-상봉현장민원실-진주여자고등학교-진주여자고등학교사거리-강동한의원-서부농협-서부시장/진주초등학교-진주초등학교-이마트-부산교통본사-나불천복개도로교차로-KBS-신안현대아파트-갑을가든-한주파크맨션-신안주공1차아파트-신안흥한아파트-평거현대1차아파트-신안우체국-진주제일중학교-들말한보공원-희망교/평거탑마트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호공원0.12정류소팻말Y<NA><NA>2022-12-23
71경남문화예술회관JJB381220002천전초등학교35.18713128.09043JJB381021010210일반버스공영차고지진양호공원진양호공원 방면공영차고지-대동1-대동2-율곡입구-가좌주공그린빌-경상국립대학교가좌캠퍼스정문-경상국립대학교가좌캠퍼스후문-개양오거리-가좌주공아파트-연암공과대학교-금호석류/은빛한보아파트-경상국립대학교병원-천전119안전센터-경남문화예술회관-천전초등학교-포시즌-농협중앙지점-중앙시장(국민은행)-갤러리아백화점-상봉현장민원실-진주여자고등학교-진주여자고등학교사거리-강동한의원-서부농협-서부시장/진주초등학교-진주초등학교-이마트-부산교통본사-나불천복개도로교차로-KBS-신안현대아파트-갑을가든-한주파크맨션-신안주공1차아파트-신안흥한아파트-평거현대1차아파트-신안우체국-진주제일중학교-들말한보공원-희망교/평거탑마트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호공원0.12벤치N<NA><NA>2022-12-23
81경남문화예술회관JJB381220002천전초등학교35.18713128.09043JJB381021010210일반버스공영차고지진양호공원진양호공원 방면공영차고지-대동1-대동2-율곡입구-가좌주공그린빌-경상국립대학교가좌캠퍼스정문-경상국립대학교가좌캠퍼스후문-개양오거리-가좌주공아파트-연암공과대학교-금호석류/은빛한보아파트-경상국립대학교병원-천전119안전센터-경남문화예술회관-천전초등학교-포시즌-농협중앙지점-중앙시장(국민은행)-갤러리아백화점-상봉현장민원실-진주여자고등학교-진주여자고등학교사거리-강동한의원-서부농협-서부시장/진주초등학교-진주초등학교-이마트-부산교통본사-나불천복개도로교차로-KBS-신안현대아파트-갑을가든-한주파크맨션-신안주공1차아파트-신안흥한아파트-평거현대1차아파트-신안우체국-진주제일중학교-들말한보공원-희망교/평거탑마트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호공원0.12단차Y<NA><NA>2022-12-23
91경남문화예술회관JJB381220002천전초등학교35.18713128.09043JJB381021010210일반버스공영차고지진양호공원진양호공원 방면공영차고지-대동1-대동2-율곡입구-가좌주공그린빌-경상국립대학교가좌캠퍼스정문-경상국립대학교가좌캠퍼스후문-개양오거리-가좌주공아파트-연암공과대학교-금호석류/은빛한보아파트-경상국립대학교병원-천전119안전센터-경남문화예술회관-천전초등학교-포시즌-농협중앙지점-중앙시장(국민은행)-갤러리아백화점-상봉현장민원실-진주여자고등학교-진주여자고등학교사거리-강동한의원-서부농협-서부시장/진주초등학교-진주초등학교-이마트-부산교통본사-나불천복개도로교차로-KBS-신안현대아파트-갑을가든-한주파크맨션-신안주공1차아파트-신안흥한아파트-평거현대1차아파트-신안우체국-진주제일중학교-들말한보공원-희망교/평거탑마트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호공원0.12시각안내N<NA><NA>2022-12-23
구분번호관광장소명정류소아이디정류소명위도경도노선아이디노선번호노선유형기점종점방면전체경로거리편의시설 구분편의시설 유무편의시설 정보편의시설 상세정보데이터 기준일자
886235김시민호JJB381226001롯데시네마35.19244128.08209JJB381012220122일반버스소곡주차장진양호차고지/경해여자고등학교진양호차고지방면소곡주차장-소곡1-소곡삼거리-소곡삼거리-삼구-삼웅-삼웅-고미사거리-새동네-죽봉입구-진주역철길밑-진주역-시티프라디움1차아파트/무듬산-센트럴웰가아파트-가좌주공3단지-개양오거리-정촌초등학교-대호빌라-목천빌딩-구.한일병원-신흥타이어-구.삼삼주유소-공단광장-상대한보아파트-자유시장-진주시청-진주기계공업고등학교-구.법원-남강카누빌-시외버스터미널-반도병원-논개시장-중앙시장(주차장)-롯데시네마-인사광장/진주성-이마트-부산교통본사-나불천복개도로교차로-진주교육대학교-신안초등학교/진주여자중학교-법원/평거현대아파트-신안주공아파트-들말대경아파트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호차고지/경해여자고등학교0.2벤치Y<NA><NA>2022-12-23
886335김시민호JJB381226001롯데시네마35.19244128.08209JJB381012220122일반버스소곡주차장진양호차고지/경해여자고등학교진양호차고지방면소곡주차장-소곡1-소곡삼거리-소곡삼거리-삼구-삼웅-삼웅-고미사거리-새동네-죽봉입구-진주역철길밑-진주역-시티프라디움1차아파트/무듬산-센트럴웰가아파트-가좌주공3단지-개양오거리-정촌초등학교-대호빌라-목천빌딩-구.한일병원-신흥타이어-구.삼삼주유소-공단광장-상대한보아파트-자유시장-진주시청-진주기계공업고등학교-구.법원-남강카누빌-시외버스터미널-반도병원-논개시장-중앙시장(주차장)-롯데시네마-인사광장/진주성-이마트-부산교통본사-나불천복개도로교차로-진주교육대학교-신안초등학교/진주여자중학교-법원/평거현대아파트-신안주공아파트-들말대경아파트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호차고지/경해여자고등학교0.2단차Y<NA><NA>2022-12-23
886435김시민호JJB381226001롯데시네마35.19244128.08209JJB381012220122일반버스소곡주차장진양호차고지/경해여자고등학교진양호차고지방면소곡주차장-소곡1-소곡삼거리-소곡삼거리-삼구-삼웅-삼웅-고미사거리-새동네-죽봉입구-진주역철길밑-진주역-시티프라디움1차아파트/무듬산-센트럴웰가아파트-가좌주공3단지-개양오거리-정촌초등학교-대호빌라-목천빌딩-구.한일병원-신흥타이어-구.삼삼주유소-공단광장-상대한보아파트-자유시장-진주시청-진주기계공업고등학교-구.법원-남강카누빌-시외버스터미널-반도병원-논개시장-중앙시장(주차장)-롯데시네마-인사광장/진주성-이마트-부산교통본사-나불천복개도로교차로-진주교육대학교-신안초등학교/진주여자중학교-법원/평거현대아파트-신안주공아파트-들말대경아파트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호차고지/경해여자고등학교0.2시각안내Y<NA><NA>2022-12-23
886535김시민호JJB381226001롯데시네마35.19244128.08209JJB381012320123일반버스죽봉진양호차고지/경해여자고등학교진양호차고지방면죽봉-매동입구-매동-정촌면사무소-모다아울렛-화동-모심-가좌이주단지-경상국립대학교가좌캠퍼스정문-경상국립대학교가좌캠퍼스후문-개양오거리-정촌초등학교-대호빌라-목천빌딩-구.한일병원-신흥타이어-구.삼삼주유소-공단광장-상대한보아파트-자유시장-진주시청-진주기계공업고등학교-구.법원-남강카누빌-시외버스터미널-반도병원-논개시장-중앙시장(주차장)-롯데시네마-인사광장/진주성-이마트-부산교통본사-나불천복개도로교차로-진주교육대학교-신안초등학교/진주여자중학교-법원/평거현대아파트-신안주공아파트-들말대경아파트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호차고지/경해여자고등학교0.2종류Y버스정류장<NA>2022-12-23
886635김시민호JJB381226001롯데시네마35.19244128.08209JJB381012320123일반버스죽봉진양호차고지/경해여자고등학교진양호차고지방면죽봉-매동입구-매동-정촌면사무소-모다아울렛-화동-모심-가좌이주단지-경상국립대학교가좌캠퍼스정문-경상국립대학교가좌캠퍼스후문-개양오거리-정촌초등학교-대호빌라-목천빌딩-구.한일병원-신흥타이어-구.삼삼주유소-공단광장-상대한보아파트-자유시장-진주시청-진주기계공업고등학교-구.법원-남강카누빌-시외버스터미널-반도병원-논개시장-중앙시장(주차장)-롯데시네마-인사광장/진주성-이마트-부산교통본사-나불천복개도로교차로-진주교육대학교-신안초등학교/진주여자중학교-법원/평거현대아파트-신안주공아파트-들말대경아파트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호차고지/경해여자고등학교0.2정류소팻말N<NA><NA>2022-12-23
886735김시민호JJB381226001롯데시네마35.19244128.08209JJB381012320123일반버스죽봉진양호차고지/경해여자고등학교진양호차고지방면죽봉-매동입구-매동-정촌면사무소-모다아울렛-화동-모심-가좌이주단지-경상국립대학교가좌캠퍼스정문-경상국립대학교가좌캠퍼스후문-개양오거리-정촌초등학교-대호빌라-목천빌딩-구.한일병원-신흥타이어-구.삼삼주유소-공단광장-상대한보아파트-자유시장-진주시청-진주기계공업고등학교-구.법원-남강카누빌-시외버스터미널-반도병원-논개시장-중앙시장(주차장)-롯데시네마-인사광장/진주성-이마트-부산교통본사-나불천복개도로교차로-진주교육대학교-신안초등학교/진주여자중학교-법원/평거현대아파트-신안주공아파트-들말대경아파트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호차고지/경해여자고등학교0.2벤치Y<NA><NA>2022-12-23
886835김시민호JJB381226001롯데시네마35.19244128.08209JJB381012320123일반버스죽봉진양호차고지/경해여자고등학교진양호차고지방면죽봉-매동입구-매동-정촌면사무소-모다아울렛-화동-모심-가좌이주단지-경상국립대학교가좌캠퍼스정문-경상국립대학교가좌캠퍼스후문-개양오거리-정촌초등학교-대호빌라-목천빌딩-구.한일병원-신흥타이어-구.삼삼주유소-공단광장-상대한보아파트-자유시장-진주시청-진주기계공업고등학교-구.법원-남강카누빌-시외버스터미널-반도병원-논개시장-중앙시장(주차장)-롯데시네마-인사광장/진주성-이마트-부산교통본사-나불천복개도로교차로-진주교육대학교-신안초등학교/진주여자중학교-법원/평거현대아파트-신안주공아파트-들말대경아파트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호차고지/경해여자고등학교0.2단차Y<NA><NA>2022-12-23
886935김시민호JJB381226001롯데시네마35.19244128.08209JJB381012320123일반버스죽봉진양호차고지/경해여자고등학교진양호차고지방면죽봉-매동입구-매동-정촌면사무소-모다아울렛-화동-모심-가좌이주단지-경상국립대학교가좌캠퍼스정문-경상국립대학교가좌캠퍼스후문-개양오거리-정촌초등학교-대호빌라-목천빌딩-구.한일병원-신흥타이어-구.삼삼주유소-공단광장-상대한보아파트-자유시장-진주시청-진주기계공업고등학교-구.법원-남강카누빌-시외버스터미널-반도병원-논개시장-중앙시장(주차장)-롯데시네마-인사광장/진주성-이마트-부산교통본사-나불천복개도로교차로-진주교육대학교-신안초등학교/진주여자중학교-법원/평거현대아파트-신안주공아파트-들말대경아파트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호차고지/경해여자고등학교0.2시각안내Y<NA><NA>2022-12-23
887035김시민호JJB381226001롯데시네마35.19244128.08209JJB381012420124일반버스신촌진양호공원진양호공원신촌-대호-대호영농조합-진주시농업기술센터/두산입구-새동네-죽봉입구-진주역철길밑-진주역-시티프라디움1차아파트/무듬산-센트럴웰가아파트-가좌주공3단지-개양오거리-정촌초등학교-대호빌라-목천빌딩-구.한일병원-신흥타이어-구.삼삼주유소-공단광장-상대한보아파트-자유시장-진주시청-진주기계공업고등학교-구.법원-남강카누빌-시외버스터미널-반도병원-논개시장-중앙시장(주차장)-롯데시네마-인사광장/진주성-이마트-부산교통본사-나불천복개도로교차로-진주교육대학교-신안초등학교/진주여자중학교-법원/평거현대아파트-신안주공아파트-들말대경아파트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호공원0.2종류Y버스정류장<NA>2022-12-23
887135김시민호JJB381226001롯데시네마35.19244128.08209JJB381012420124일반버스신촌진양호공원진양호공원신촌-대호-대호영농조합-진주시농업기술센터/두산입구-새동네-죽봉입구-진주역철길밑-진주역-시티프라디움1차아파트/무듬산-센트럴웰가아파트-가좌주공3단지-개양오거리-정촌초등학교-대호빌라-목천빌딩-구.한일병원-신흥타이어-구.삼삼주유소-공단광장-상대한보아파트-자유시장-진주시청-진주기계공업고등학교-구.법원-남강카누빌-시외버스터미널-반도병원-논개시장-중앙시장(주차장)-롯데시네마-인사광장/진주성-이마트-부산교통본사-나불천복개도로교차로-진주교육대학교-신안초등학교/진주여자중학교-법원/평거현대아파트-신안주공아파트-들말대경아파트-10호광장/한보하이타운아파트-휴먼시아3단지/평거주공1단지-휴먼시아4단지/평거주공2단지-판문동행정복지센터-퀸즈웰가아파트-판문현대아파트-평거초등학교-진양호삼거리-진양호공원0.2정류소팻말N<NA><NA>2022-12-23